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Anthropic CCAR-P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Evaluation, Testing & Optimization | 16% | - Evaluation framework design - A/B testing - Production monitoring and optimization - Cost and performance optimization - Evaluation metrics and datasets - System issue diagnosis |
| Governance, Safety & Risk Management | 14% | - Security and risk management - Regulatory and compliance requirements - AI safety and guardrails - Human-in-the-loop validation - Ethical AI considerations |
| Integration | 19% | - RAG pipeline design
- Claude integration mechanisms
|
| Developer Productivity & Operational Enablement | 7% | - Claude tooling configuration for teams - Debugging and operational issue resolution - AI-assisted developer workflows - Developer enablement |
| Claude Models, Prompting & Context Engineering | 13% | - Guardrails - System prompts and prompt templates - Context window optimization - Claude model selection and trade-offs - Prompt reuse and context engineering strategies |
| Solution Design & Architecture | 17% | - End-to-end architecture design - Decomposition techniques for complex problem solving - Architectural patterns
- Translating business problems into Claude-based AI solutions - Alignment with business value, cost, performance, and SLAs |
| Stakeholder Communication & Lifecycle Management | 14% | - Service-level agreements - Communicating architectural decisions - Solution lifecycle management - Discovery and requirements gathering - Architecture documentation - Stakeholder management |
Anthropic Claude Certified Architect - Professional Sample Questions:
1. You are documenting an architectural decision to support future audit and onboarding.
Which artifact is the strongest fit?
A) An Architecture Decision Record that states the context, the decision, the alternatives considered, the consequences, and the date and authors.
B) A code comment in a single file that contains an opinion of one engineer.
C) A short verbal note shared during a hallway conversation with no written record.
D) A slide deck in a presentation folder with no accompanying written rationale.
2. A healthcare organization is evaluating two Claude-powered AI architectures for a clinical documentation assistant. Architecture X produces higher output quality scores but costs $0.18 per documentation session and averages 4.2 seconds per response. Architecture Y scores slightly lower on quality metrics but costs $0.09 per session and averages 2.1 seconds per response. The stated SLA requires responses under 3 seconds, and the annual volume is projected at 2 million documentation sessions.
Which evaluation approach correctly applies business value pillar analysis to this decision?
A) Select Architecture X because the higher quality scores justify the cost premium, and any SLA gap can be addressed through infrastructure optimization after deployment.
B) Recommend a hybrid approach using Architecture X for complex cases and Architecture Y for routine cases, without additional analysis, since this preserves quality where it matters most.
C) Eliminate Architecture X on SLA grounds, then evaluate Architecture Y against the efficiency and solution cost pillars by calculating annual cost difference and assessing whether the quality delta materially impacts clinical workflow productivity.
D) Select Architecture Y based solely on the 50% cost reduction, since solution cost is the most important value pillar in healthcare budget-constrained environments.
3. An operations engineer reports that a Claude-based pipeline began returning malformed JSON responses after a scheduled maintenance window, causing downstream processing failures.
Which two investigative steps most directly isolate the root cause? (Select two.)
A) Compare the current system prompt and output schema configuration against the last known good version from before the maintenance window.
B) Clear the prompt cache and resubmit all pending requests to eliminate stale cached prefixes.
C) Switch to a different Claude model tier to rule out provider-side changes as a contributing factor.
D) Replay a set of premaintenance requests against the current configuration and inspect the raw model output before downstream parsing.
E) Increase the max_tokens limit to determine whether output truncation is causing incomplete JSON structures.
4. A customer support team has proposed delegating customer refund decisions to a Claude-driven workflow with no human review for refunds under 50 USD. The team's reasoning is that small refunds are low-risk and human review would erase the efficiency gain.
Which Delegation-competency principle should guide your response?
A) Delegation should always include human review on every decision the workflow produces.
B) Delegation should be avoided entirely wherever financial transactions occur in the workflow.
C) Delegation scope should reflect the type of risk involved, not the transaction size alone.
D) Delegation scope should be set primarily by maximizing efficiency gains across the workflow.
5. You are defining when to introduce a project subagent versus relying on Claude Code's general capabilities.
Which scenario most directly justifies a dedicated subagent?
A) The team has no recurring specialized tasks and uses Claude Code only for isolated general-purpose work that does not justify a dedicated system prompt or tool scope.
B) The team has a one-time ad hoc question that will not recur and does not require a focused system prompt, narrow tool permissions, or dedicated model selection.
C) The team wants every Claude Code interaction to use the same generic system prompt with no task- specific specialization, narrow tool permissions, or dedicated model selection.
D) The team has a recurring specialized task, such as database schema review, that requires a focused system prompt, narrow tool permissions, and a specific model selection across many sessions.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: A,D | Question # 4 Answer: C | Question # 5 Answer: D |



